Update README.md

README.md

@@ -2,19 +2,19 @@
 language:
 - ru
 tags:
-- PyTorch
 - Transformers
 - bert
-- exbert
 pipeline_tag: fill-mask
-thumbnail: "https://github.com/sberbank-ai/model-zoo"
+thumbnail: https://github.com/sberbank-ai/model-zoo
 license: apache-2.0
 widget:
-- text: "Применение метода <mask> векторов для решения задач классификации"
+- text: Применение метода <mask> векторов для решения задач классификации
 ---
 
 # ruSciBERT
-Model was trained by Sber AI team and MLSA Lab of Institute for AI, MSU
+Model was trained by Sber AI team and MLSA Lab of Institute for AI, MSU.
+If you use our model for your project, please tell us about it ([nikgerasimenko@gmail.com](nikgerasimenko@gmail.com)).
+
 
 [Presentation at the AI Journey 2022](https://ai-journey.ru/archive/?year=2022&video=https://vk.com/video_ext.phpq3u4e5st6io8nm7a0rkoid=-22522055a2n3did=456242496a2n3dhash=ae9efe06acf647fd)
 * Task: `mask filling`
@@ -22,4 +22,4 @@ Model was trained by Sber AI team and MLSA Lab of Institute for AI, MSU
 * Tokenizer: `bpe`
 * Dict size: `50265`
 * Num Parameters: `123 M`
-* Training Data Volume: `6.5 GB`
+* Training Data Volume: `6.5 GB`